A tiny fingernail wearable sensor can monitors diseases and disorders, which explains in the recent IBM story. The team designed these tiny sensors to help clinicians for detecting the development of diseases through artificial intelligence (AI).
Why the scientists chose fingernail wearable sensors?
The Katsuyuki Sakuma and Stephen Heisig have addressed and discussed many questions. They said nails are tough and hence they decided to glue these sensors to the fingernails. Besides, it reduces the risks associated with attaching the sensors to the skin. This experiment experiences the extraction of signal from nail sensors, which has good grip force with other grip types.
Extensive focus on grip
This device attached to the fingernails for performing much the measurement. The device collects data of a person while performing routine activities by wearing the sensors on fingernails. Thus, the grip plays important role in dealing with many health issues.
Sensors involved in setup delivers the data to the app, which deals with motion and pressure. The SiliconANGLE described components into two parts. The first content compact computers and the second one is a smartwatch. The computer analyzes the data collected from the fingernail moves and strain gauges in the device records ways.
AI is able to identify abnormal movements and states the difference between the movements. The software is able to tell these things while writing and determining numerical digits.
Fingernails deform in stereotypic ways for gripping, flexing fingers, and grasping. This deformation usually occurs in single digits microns that are generally invisible with naked eyes. Strain gauges catch these microns and help in monitoring health of the patients.